Source-tracked model comparison

Claude Sonnet 5 vs GPT-5.6 Sol: how do agent-loop API costs compare?

Compare verified pricing and model limits for premium agent-loop cost across current providers. The cost example uses a ai agent loops workload and does not assume equal model quality.

Direct cost answer: Claude Sonnet 5 is estimated at $1,045.20 per month and gpt-5.6-sol at $2,988.00 for 6,000 input tokens, 2,500 output tokens, and 30,000 monthly requests. Claude Sonnet 5 is $1,942.80 lower under these assumptions. This does not identify a quality winner.
Current provider alternativesAI agent loopsSources checked 2026-07-12 / 2026-07-13
Tracked facts

Pricing and model limits

Prices are USD per 1M tokens under each model's verified default profile.

FieldClaude Sonnet 5gpt-5.6-sol
ProviderAnthropicOpenAI
API model IDclaude-sonnet-5gpt-5.6-sol
Input / 1M$2.00$5.00
Cached input / 1M$0.20$0.50
Output / 1M$10.00$30.00
Context window1,000,000 tokens1,050,000 tokens
Maximum output128,000 tokens128,000 tokens
Accepted inputtext, imagetext, image
Example workload

AI agent loops cost scenario

6,000 input and 2,500 output tokens per request, 30,000 monthly requests, and 20% cached input.

Anthropic

Claude Sonnet 5

$1,045.20 / month
Input cost
$295.20
Output cost
$750.00
Per 1,000 calls
$34.84
Pricing profile
standard
View model details
OpenAI

gpt-5.6-sol

$2,988.00 / month
Input cost
$738.00
Output cost
$2,250.00
Per 1,000 calls
$99.60
Pricing profile
standard / short context
View model details

Cost result: Claude Sonnet 5 is $1,942.80 lower per month for these assumptions. This is a price comparison, not a model-quality ranking.

StackLens assessment

Questions to answer before choosing

  • How many calls complete a successful agent task?
  • Which steps can route to a smaller model?
  • Do long prompts trigger a different tracked pricing profile?
Workload caveat

What this estimate leaves out

Treat monthly requests as model calls, not user tasks. Tool execution and external API charges are excluded.

Latency, reliability, output quality, retries, regional processing, and provider-specific tool charges can change the practical decision.